Results 161 to 170 of about 1,823,507 (265)

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

open access: yesAdvanced Science, EarlyView.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu   +20 more
wiley   +1 more source

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

open access: yesAdvanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park   +7 more
wiley   +1 more source

Fibrates Inhibit PLTP‐induced M2 Macrophage Infiltration and Increase the Sensitivity of Hepatocellular Carcinoma to ICIs

open access: yesAdvanced Science, EarlyView.
Phospholipid transfer protein(PLTP) plays a critical role in forming a complex with kinase A (AURKA) and P65. This interaction facilitates phosphorylation of P65 at Ser536, leading to the activation of the NF‐κB signaling pathway. Ultimately, this leads to the upregulation of downstream cytokines, including IL‐6, IL‐8, and CSF‐1, which promotes M2 ...
Xinyue Liang   +14 more
wiley   +1 more source

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open access: yesRevista Lusófona de Estudos Culturais, 2018
Madalena Oliveira   +2 more
openaire   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang   +5 more
wiley   +1 more source

Arquivo para download

open access: yesCadernos de História da Educação, 2016
Editor da revista
doaj  

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